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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q109-Q114):

NEW QUESTION # 109
Some of your EC2 instances are configured to use a Proxy. Can you use Amazon Inspector for regular assessment of instances behind proxy?

A. No, AWS Agent does NOT support proxy environments.
B. Yes, AWS Agent supports proxy environments on both Linux-based and Windows-based systems.
C. Only Linux-based systems are supported, and AWS agent supports HTTPS proxy on these systems.
D. Only Windows-based systems are supported as Linux-based systems use custom configurations that are not supported by AWS Agent in the current release.

Answer: B

Explanation:
The AWS agent supports proxy environments. For Linux instances, Inspector supports HTTPS Proxy, and for Windows instances, it supports WinHTTP proxy.
Reference: https://docs.aws.amazon.com/inspector/latest/userguide/inspector_agents.html

NEW QUESTION # 110
A company has deployed several applications globally. Recently, Security Auditors found that few Amazon EC2 instances were launched without Amazon EBS disk encryption. The Auditors have requested a report detailing all EBS volumes that were not encrypted in multiple AWS accounts and regions. They also want to be notified whenever this occurs in future.
How can this be automated with the LEAST amount of operational overhead?

A. Create an AWS CloudFormation template that adds an AWS Config managed rule for EBS encryption.
Use a CloudFormation stack set to deploy the template across all accounts and regions. Store consolidated evaluation results from config rules in Amazon S3. Send a notification using Amazon SNS when non-compliant resources are detected.
B. Using AWS CLI, run a script periodically that invokes the aws ec2 describe-volumes query with a JMESPATH query filter. Then, write the output to an Amazon S3 bucket. Set up an S3 event notification to send events using Amazon SNS when new data is written to the S3 bucket.
C. Set up AWS CloudTrail to deliver all events to an Amazon S3 bucket in a centralized account.
Use the S3 event notification feature to invoke an AWS Lambda function to parse AWS CloudTrail logs whenever logs are delivered to the S3 bucket. Publish the output to an Amazon SNS topic using the same Lambda function.
D. Create an AWS Lambda function to set up an AWS Config rule on all the target accounts. Use AWS Config aggregators to collect data from multiple accounts and regions. Export the aggregated report to an Amazon S3 bucket and use Amazon SNS to deliver the notifications.

Answer: D

Explanation:
https://aws.amazon.com/blogs/aws/aws-config-update-aggregate-compliance-data-across- accounts-regions/

NEW QUESTION # 111
A DevOps Engineer manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple Availability Zones. The Engineer needs to implement a deployment strategy that:
- Launches a second fleet of instances with the same capacity as the
original fleet.
- Maintains the original fleet unchanged while the second fleet is
launched.
- Transitions traffic to the second fleet when the second fleet is
fully deployed.
- Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?

A. Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration. Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.
B. Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.
C. Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.
D. Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.

Answer: C

NEW QUESTION # 112
Your current log analysis application takes more than four hours to generate a report of the top 10 users of your web application. You have been asked to implement a system that can report this information in real time, ensure that the report is always up to date, and handle increases in the number of requests to your web application. Choose the option that is cost-effective and can fulfill the requirements.

A. Publish your data to Cloud Watch Logs, and configure your application to autoscale to handle the load on demand.
B. Create a multi-AZ Amazon RDS MySQL cluster, post the logging data to MySQL, and run a map reduce job to retrieve the required information on user counts.
C. Publish your log data to an Amazon S3 bucket. Use AWS CloudFormation to create an Auto Scalinggroup to scale your post-processing application which is configured to pull down your log files stored an Amazon S3.
D. Post your log data to an Amazon Kinesis data stream, and subscribe your log-processing application so that is configured to process your logging data.

Answer: D

Explanation:
Explanation
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time.
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as application logs, website clickstreams, loT telemetry data, and more into your databases, data lakes and data warehouses, or build your own real-time applications using this data.
For more information on Amazon Kinesis, please visit the below URL:
* https://aws.amazon.com/kinesis

NEW QUESTION # 113
Your application is currently running on Amazon EC2 instances behind a load balancer.
Your management has decided to use a Blue/Green deployment strategy.
How should you implement this for each deployment?

A. Using AWS CloudFormation, create a test stack for validating the code, and then deploy the code to each production Amazon EC2 instance.
B. Launch more Amazon EC2 instances to ensure high availability, de-register each Amazon EC2 instance from the load balancer, upgrade it, and test it, and then register it again with the load balancer.
C. Set up Amazon Route 53 health checks to fail over from any Amazon EC2 instance that is currently being deployed to.
D. Create a new load balancer with new Amazon EC2 instances, carry out the deployment, and then switch DNS over to the new load balancer using Amazon Route 53 after testing.

Answer: D

NEW QUESTION # 114
......

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